Multilevel analysis of bulk shipping fleet productivity: a big data approach

Haiying Jia

Maritime Policy & Management, 2025, vol. 52, issue 1, 1-17

Abstract: Fleet productivity is an important element in shipping economics, a defining factor in the asset’s profitability, and a key driver of the emission footprint of the industry. This paper analyzes the productivity of bulk vessels in a multi-dimensional framework by utilizing over 800,000 voyages data which were carried out by 17,764 vessels over a 7-year horizon and was derived from the Automated Identification System. An examination of the underlying factors driving transportation output provides further understanding of how the operational behaviours impact vessel productivity. The insights from this research have important implications for policy making in investment, operational enhancement, and emission reduction.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03088839.2023.2175062 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:marpmg:v:52:y:2025:i:1:p:1-17

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TMPM20

DOI: 10.1080/03088839.2023.2175062

Access Statistics for this article

Maritime Policy & Management is currently edited by Dr Kevin Li and Heather Leggate McLaughlin

More articles in Maritime Policy & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().